M5Stack UnitV2 - The standalone AI Camera


Description

UnitV2 is a high-efficiency AI recognition module launched by M5Stack, using Sigmstar SSD202D (integrated dual-core Cortex-A7 1.2GHz processor) control core, integrated 128MB-DDR3 memory, 512MB NAND Flash, and 1080P camera. With embedded Linux operating system and rich software and hardware resources and development tools integrated, UnitV2 is committed to bringing users a simple and efficient AI development experience out of the box.

Note: Best to use the original M5 data cable to connect to the computer, otherwise it may cause a crash, and the loose data cable may also cause a crash. Edge and Chrome browsers are recommended, Firefox has a certain chance of causing it to cause a crash or the screen is not smooth.

Features

  • Sigmstar SSD202D

  • Dual Cortex-A7 1.2GHz Processor

  • 128MB DDR3

  • 512MB NAND Flash

  • GC2145 1080P Colored Sensor

  • Microphone

  • Wi-Fi 2.4GHz

Applications

  • AI recognition function development

  • Industrial visual identification sorting

  • Machine vision learning

UNIT-V2 series comparison

Spec
UNIT-V2
UNIT-V2 M12
UNIT-V2 USB

Lens equipment

Normal focal length (FOV 68°)

Normal focal length (FOV 85°) + wide-angle focal length (FOV: 150°)

Without lens, USB-A universal interface, can be connected to various UVC cameras

CMOS

GC2145

GC2053

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Specifications

Resources
Parameter

Sigmstar SSD202D

Dual Cortex-A7 1.2GHz Processor

Flash

512MB NAND

RAM

128MB-DDR3

Camera

GC2145 1080P Colored Sensor

Lens

FOV 68° , DOF= 60cm- ∞

Power Input

5V @ 500mA

Peripherals

TypeC x1, UART x1, TFCard x1, Button x1, Microphone x1, Fan x1

Indicator light

Red, White

Wi-Fi

150Mbps 2.4GHz 802.11 b/g/n

Operating Temperature

0°C to 60°C

Net weight

18g

Product Size

48*18.5*24mm

Package Size

157*38*38mm

Case Material

Plastic ( PC )

Schematics

Last updated

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